Triple

T20616178
Position Surface form Disambiguated ID Type / Status
Subject Sillon industriel of Belgium E506572 entity
Predicate passesThrough P225 FINISHED
Object Verviers NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Verviers | Statement: [Sillon industriel of Belgium, passesThrough, Verviers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verviers
Context triple: [Sillon industriel of Belgium, passesThrough, Verviers]
  • A. Verviers chosen
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • B. Durbuy
    Durbuy is a small, picturesque town in the Belgian Ardennes often promoted as one of the “smallest cities in the world,” known for its medieval architecture and tourism.
  • C. Buizingen
    Buizingen is a village and suburb of Halle in Flemish Brabant, Belgium, known in part for the 2010 train collision that occurred near its railway station.
  • D. Binche
    Binche is a historic town in the Walloon region of Belgium, renowned for its well-preserved medieval architecture and its UNESCO-recognized Carnival of Binche.
  • E. Porrentruy
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadbb3ac81908145f57fd6a94256 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.